Learn the advanced skills needed to apply artificial intelligence and machine learning in biomedical engineering. Take high-demand core courses and disciplinary electives, and select a culminating experience that fits your needs so you can graduate in one to two years.
The Master of Science program in artificial intelligence engineering with a concentration in intelligent biomedical systems engineering combines advanced study in AI approaches with deep domain expertise in biomedical engineering.
The use of AI approaches, including machine learning, natural language processing, computer vision, robotics and pattern recognition, is becoming widespread in many fields plus all engineering disciplines. Yet, the majority of engineering occupations require subject matter expertise beyond AI.
In this program, you learn how to develop and customize relevant AI approaches to biomedical engineering problems. Emerging AI applications in biomedical engineering include diagnostics, personalized treatment plans, robotic surgery, medical device design, and many others. A core curriculum in AI engineering foundations, AI systems and tools, AI ethics and social responsibility, and data collection and evaluation for AI systems is complemented by biomedical engineering-specific courses to ensure breadth and depth in AI and in biomedical engineering.
January 2027
Tempe Campus
1151 S Forest Avenue,
Tempe,
Arizona,
85287, West, United States
Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in computing, engineering, mathematics, statistics, biomedical or a related field from a regionally accredited institution.
Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.
*There may be different IELTS requirements depending on your chosen course.